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20232026
most citedSAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

10 citations · 15 across the 21 of their papers we have counts for

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8 papers · 1 filter

cs.CR2026

SpatialTrust: A Benchmark for Environmental Risk Recognition in Secure Authentication

Junbin Lu, Hsiang-Wei Huang, Saesha Wadhwa +2

Visual environmental risk recognition plays an important role in secure authentication, where a user's surroundings may reveal sensitive information or introduce potential security…

cs.CV2026

LeFlow: Generative Latent Flow Planning for World Models

Hsiang-Wei Huang, Jianxu Shangguan, Junbin Lu +1

Latent world models are inherently strong encoders that transform image pixel to latent embedding, yet existing world models still rely on online trajectory optimization for action…

cs.CV2026

Memory Tree Guided Key Frame Querying for Efficient 3D Question Answering

Hsiang-Wei Huang, Fu-Chen Chen, Li-Wu Tsao +7

Answering questions accurately and efficiently in embodied scenarios presents significant challenges due to limited computational and memory resources for Vision Language Model (VL…

cs.CV2026

Understanding Identity Continuity in Thermal Video through Scene-Level Consistency

Wei-Chieh Sun, Gyungmin Ko, Heejae Kwon +2

Thermal pedestrian MOT remains challenging because weak appearance cues and frequent detection interruptions cause severe trajectory fragmentation. We study whether lightweight pos…

cs.CV2026

CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models

Hsiang-Wei Huang, Junbin Lu, Kuang-Ming Chen +3

Vision-Language Models (VLMs) achieve strong performance on spatial question answering benchmarks, yet it remains unclear whether such gains reflect genuine spatial intelligence. W…

cs.CV2026

Detector-in-the-Loop Tracking: Active Memory Rectification for Stable Glottic Opening Localization

Huayu Wang, Bahaa Alattar, Cheng-Yen Yang +5

Temporal stability in glottic opening localization remains challenging due to the complementary weaknesses of single-frame detectors and foundation-model trackers: the former lacks…

cs.CL2026

Modeling LLM Agent Reviewer Dynamics in Elo-Ranked Review System

Hsiang-Wei Huang, Junbin Lu, Kuang-Ming Chen +1

In this work, we explore the Large Language Model (LLM) agent reviewer dynamics in an Elo-ranked review system using real-world conference paper submissions. Multiple LLM agent rev…

cs.CV2026

Reasoning Matters for 3D Visual Grounding

Hsiang-Wei Huang, Kuang-Ming Chen, Wenhao Chai +3

The recent development of Large Language Models (LLMs) with strong reasoning ability has driven research in various domains such as mathematics, coding, and scientific discovery. M…